Request a Chapter¶
Have a specific AI topic you want to learn? Ask Berta to create a chapter for you.
What is a Chapter Request?¶
Berta Chapters has two streams:
- Planned Curriculum (25 chapters) — Structured path from Python → Advanced AI
- Community-Requested Chapters (Unlimited) — Custom chapters generated on-demand
This guide is about Stream 2: requesting custom chapters.
How It Works¶
- Open a GitHub issue with your chapter request
- Describe what you want to learn and why
- Berta AI analyzes the request
- A complete chapter is generated (notebooks, exercises, diagrams)
- A new repository is created with your chapter
- You're notified with a link
How to Request¶
Step 1: Go to Issues¶
Navigate to: berta-chapters/issues
Step 2: Click "New Issue"¶
Select the "Chapter Request" template.
Step 3: Fill Out the Form¶
| Field | Required | Description |
|---|---|---|
| Chapter Topic | Yes | What do you want to learn? |
| Experience Level | Yes | Beginner / Intermediate / Advanced |
| Learning Goal | Yes | Why? What will you build? |
| Focus Areas | No | Subtopics or angles that matter |
| Preferred Tech | No | Frameworks, tools (e.g., PyTorch) |
| Real-World Context | No | Your use case, data, constraints |
Step 4: Submit¶
Click "Submit new issue"—that's it!
Request Template¶
Use this as a reference when opening your issue:
## Chapter Topic
[What do you want to learn?]
## Your Experience Level
- [ ] Beginner — New to AI/programming
- [ ] Intermediate — Know Python & basic ML
- [ ] Advanced — Comfortable with ML/AI concepts
## Learning Goal
[Why do you need this? What will you build/do with it?]
## Specific Focus Areas
[What subtopics or angles matter most?]
## Preferred Tech/Tools
[Any specific frameworks or tools?]
## Real-World Context
[Tell Berta about your specific use case]
What Makes a Great Request?¶
Great
"Fine-tuning LLMs for financial document analysis. I work in fintech and need to build a system that understands bond prospectuses. I know Python and basic ML but haven't done fine-tuning. Focus on LoRA and cost-efficiency."
- Specific topic
- Real use case
- Experience level
- Focus areas
Avoid
"Tell me about AI" — Too broad, no clear goal
"How do I make a million dollars with AI?" — Not a technical learning objective
What Gets Generated?¶
Every requested chapter includes:
- Documentation — README with objectives and prerequisites
- Notebooks — Beginner, intermediate, advanced levels
- Scripts — Production-ready code
- Exercises — 3–5 problems with solutions
- Diagrams — SVG and Mermaid visualizations
- Resources — Links to papers, datasets, tools
Timeline¶
| Request Type | Typical Timeline |
|---|---|
| Small/focused | 1–3 days |
| Detailed/complex | 1 week |
| Very complex | 1–2 weeks |
We prioritize: detailed requests, real use cases, topics that fill curriculum gaps.
FAQ¶
Q: Can I request anything?
A: We focus on AI/ML topics. We love specific techniques, domain applications, and specialized topics.
Q: Do I need to pay?
A: No. All chapters are 100% free, open-source.
Q: Can I contribute to my requested chapter?
A: Yes! Fork, improve, and submit a PR. This is how the community improves the curriculum.
Q: Can I use chapters commercially?
A: Yes, under the MIT License. Include attribution to Berta AI and Luigi Pascal Rondanini.
Created by Luigi Pascal Rondanini | Generated by Berta AI